Skip to main content
Log in

The effect of microscopic friction and size distributions on conditional probability distributions in soft particle packings

  • Published:
Computational Particle Mechanics Aims and scope Submit manuscript

Abstract

Employing two-dimensional molecular dynamics (MD) simulations of soft particles, we study their non-affine responses to quasi-static isotropic compression where the effects of microscopic friction between the particles in contact and particle size distributions are examined. To quantify complicated restructuring of force-chain networks under isotropic compression, we introduce the conditional probability distributions (CPDs) of particle overlaps such that a master equation for distribution of overlaps in the soft particle packings can be constructed. From our MD simulations, we observe that the CPDs are well described by q-Gaussian distributions, where we find that the correlation for the evolution of particle overlaps is suppressed by microscopic friction, while it significantly increases with the increase of poly-dispersity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Notes

  1. The number of particles and size ratios of poly-dispersed particles are resembling the recent experiments of wooden cylinders [8].

  2. We confirmed that static packings prepared with longer length scales, \(\lambda =10^3\bar{\sigma }\) and \(10^4\bar{\sigma }\), give the same results concerning their critical scaling near jamming [10], while we cannot obtain the same results with a shorter length scale, \(\lambda =10\bar{\sigma }\).

  3. Here, \(p/k_\mathrm {n}\) is dimensionless in two dimensions and the scaled distances for radial distribution functions, g(r), are defined as \(r\equiv d_{ij}/(R_i+R_j)\).

  4. Because every acceleration is lower than the threshold, the viscous forces are negligible, while they play an important role during the relaxation process.

  5. Such a discontinuity is specific to static packings, where a corresponding gap has been observed in a radial distribution function in a glass with zero-temperature [12].

  6. From the Chapman–Kolmogorov equation (9), \(P_{\phi +\delta \phi }(\xi ') = \int _{-\infty }^\infty \delta (\xi '-\xi ^\mathrm {affine})P_\phi (\xi )\mathrm{d}\xi = \int _{-\infty }^\infty \delta (\xi '-B_a\gamma -\xi )P_\phi (\xi )\mathrm{d}\xi = P_\phi (\xi '-B_a\gamma )\).

  7. B(xy) is the beta function.

References

  1. Lemaitre J, Chaboche JL (1990) Mechanics of solid materials. Cambridge University Press, Cambridge

    Book  MATH  Google Scholar 

  2. Majmudar TS, Sperl M, Luding S, Behringer RP (2007) Jamming transition in granular systems. Phys Rev Lett 98:058001

    Article  Google Scholar 

  3. Henkes S, Chakraborty B (2009) Statistical mechanics framework for static granular matter. Phys Rev E 79:061301

    Article  MathSciNet  Google Scholar 

  4. Snoeijer JH, Vlugt TJH, van Hecke M, van Saarloos W (2004) Force network ensemble: a new approach to static granular matter. Phys Rev Lett 92:054302

    Article  Google Scholar 

  5. Mueth DM, Jaeger HM, Nagel SR (1998) Force distribution in a granular medium. Phys Rev E 57:3164

    Article  Google Scholar 

  6. Silbert LE, Grest GS, Landry JW (2002) Statistics of the contact network in frictional and frictionless packings. Phys Rev E 66:061303

    Article  Google Scholar 

  7. Saitoh K, Magnanimo V, Luding S (2015) Master equation for the probability distribution functions of overlaps between particles in two dimensional granular packings. Soft Matter 11:1253

    Article  Google Scholar 

  8. Combe G, Richefeu V, Stasiak M, Atman AP (2015) Experimental validation of a nonextensive scaling law in confined granular media. Phys Rev Lett 115:238301

    Article  Google Scholar 

  9. Luding S (2005) Anisotropy in cohesive, frictional granular media. J Phys Condens Matter 17:S2623

    Article  MathSciNet  Google Scholar 

  10. van Hecke M (2010) Jamming of soft particles: geometry, mechanics, scaling and isostaticity. J Phys Condens Matter 22:033101

    Article  Google Scholar 

  11. Sastry S, Corti DS, Debenedetti PG, Stillinger FH (1997) Statistical geometry of particle packings. I. Algorithm for exact determination of connectivity, volume, and surface areas of void space in monodisperse and polydisperse sphere packings. Phys Rev E 56:5524

    Article  MathSciNet  Google Scholar 

  12. Jacquin H, Berthier L, Zamponi F (2011) Microscopic mean-field theory of the jamming transition. Phys Rev Lett 106:135702

    Article  Google Scholar 

  13. van Kampen NG (2007) Stochastic processes in physics and chemistry, 3rd edn. Elsevier, Amsterdam

    MATH  Google Scholar 

  14. Tsallis C (1988) Possible generalization of Boltzmann-Gibbs statistics. J Stat Phys 52:479

    Article  MathSciNet  MATH  Google Scholar 

  15. Ogarko V, Luding S (2013) Prediction of polydisperse hard-sphere mixture behavior using tridisperse systems. Soft Matter 9:9530

    Article  Google Scholar 

Download references

Acknowledgments

We thank M. Tolomeo, V. Richefeu, G. Combe, and G. Viggiani for fruitful discussions. This work was financially supported by the NWO-STW VICI Grant 10828, the World Premier International Research Center Initiative (WPI), Ministry of Education, Culture, Sports, Science, and Technology, Japan (MEXT), and Kawai Foundation for Sound Technology & Music. This work was also supported by Grant-in-Aid for Scientific Research B (Grants Nos. 16H04025 and 26310205) and Grant-in-Aid for Research Activity Start-up (Grant No. 16H06628) from the Japan Society for the Promotion of Science (JSPS). A part of numerical computation has been carried out at the Yukawa Institute Computer Facility, Kyoto, Japan.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kuniyasu Saitoh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Saitoh, K., Magnanimo, V. & Luding, S. The effect of microscopic friction and size distributions on conditional probability distributions in soft particle packings. Comp. Part. Mech. 4, 409–417 (2017). https://doi.org/10.1007/s40571-016-0138-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40571-016-0138-z

Keywords

Navigation